The modern approach divides an alert into two distinct steps:
: Always feed CodeProject.AI your camera's low-resolution substream rather than the primary 4K or 1080p stream. It speeds up detection times massively without hurting accuracy. codeproject blue iris verified
If you have searched for , you are likely looking for the definitive guide to achieving the highest accuracy, the proper setup, and the "green verified checkmark" of success in your Blue Iris console. This article is that guide. The modern approach divides an alert into two
The image is analyzed locally via computer vision models (such as YOLOv5 or YOLOv8). If CodeProject.AI matches the target with a high enough confidence score (e.g., person: 82% ), it passes a status back to Blue Iris. Only then is the alert officially verified and sent to your mobile device or smart home ecosystem. If nothing is found, the alert is cancelled. Step-by-Step Guide to Setting Up Verified Alerts This article is that guide
: A camera detects motion (e.g., a tree swaying) and triggers Blue Iris.